Production Engineering : PE

• Production engineering is a combination of manufacturing technology, engineering sciences with management science.
• Production engineers typically have a wide knowledge of engineering practices with awareness of management challenges related the accomplishment of a production process.
• Production engineering encompasses the application of machining processing, automation and automatic control, metrology, die and mold design, and machine designing and manufacturing through CAD/CAM/CAE.

Industrial Engineering : IE

• Industrial engineering deals with the optimization of complex processes, systems or organizations.
• Industrial engineers eliminate waste of time, money, materials, man-hours, machine time, energy and other resources that do not generate value.
• Industrial engineering comprises the design and development of production, logistics, supply chain, warehouse management, and adoption of new industrial technologies.

Computer Engineering : CE

• Computer engineering is a discipline that integrates several fields of electrical engineering and computer science required to develop computer hardware and software.
• Computer engineers are involved in both hardware and software aspects of computing, from the design of individual microcontrollers, microprocessors, and artificial intelligence.
• Computer engineers are suited for embedded-system and robotics, which relies heavily on using digital systems to control and monitor electrical systems, communications, and sensors.

International Program

Digital Engineering : DGE

The Digital Engineering Program (DGE) will impart Digital Engineers with the critical skills needed in the following areas: Economics, Engineering, Novel Business Model, Digital Engineering and Artificial Intelligence. The program will prepare Digital Engineers for Industry 4.0, equipped with the ability to design, fabricate, assemble, install and integrate computer hardware, software and control systems. They will be provided with the “Digital Literacy” skills needed to apply engineering technology to improve automation systems and IoT; covering Intelligent Software, Intelligent Embedded Systems, and Intelligent System Integration, including for first stage and emerging S-curve industries and enterprises.